Laboratory for Neural Statistics
ML-NYC
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I am a Research Fellow at the Flatiron Institue working jointly between the Centers for Computational Mathematics and Computational Neuroscience as well as a Visiting Scholar at NYU . I completed my PhD in the Neural Dynamics and Computation Lab at Stanford University co-advised by Surya Ganguli and Shaul Druckmann and supported by the DOE Computational Science Graduate Fellowship . Through this program, I also worked in Sandia National Labs’ Extreme-Scale Data Science group as a visiting researcher, leadin
My research combines theoretical and empirical approaches to understand and improve deep learning, low-rank models, and recurrent networks in the brain. This has led to the opportunity to work with many excellent collaborators, including Jonathan Frankle , Karolina Dziugaite , Mansheej Paul , Stanislav Fort , Alex Williams , and Scott Linderman .
Prior to my PhD, I completed the MPhil in Scientific Computing (Machine Learning Focus) at the University of Cambridge working with Carola Bibiane Schönlieb and Martin Benning . I did my undergrad at Arizona State University and Barrett, the Honors College where I worked on statistical signal processing.
Laboratory for Neural Statistics
ML-NYC